CompTIA Exam DA0-001 Topic 4 Question 44 Discussion

Actual exam question for CompTIA's DA0-001 exam

Question #: 44
Topic #: 4

A data analyst needs to apply quality control concepts to a data set for accuracy. Which of the following is the best way to do this?

AStandardization

BParameterization

CEncryption

DCross-validation

Show Suggested Answer

Suggested Answer: C

by Katy at Sep 14, 2024, 08:56 PM

Limited Time Offer

25%

Off

Get Premium DA0-001 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Lettie

2 months ago

Ah, cross-validation, the old reliable! Gotta love a good data quality check, keeps those numbers honest.

upvoted 0 times

Luisa

29 days ago

Standardization can also be helpful in ensuring consistency across the dataset.

upvoted 0 times

...

Denise

1 months ago

I agree, it's important to make sure the data is accurate before drawing any conclusions.

upvoted 0 times

...

Kina

2 months ago

Cross-validation is definitely a solid choice for data quality control.

upvoted 0 times

...

Marylin

2 months ago

Parameterization? Is this a trick question or something? That doesn't sound right at all.

upvoted 0 times

Avery

2 months ago

C: Parameterization doesn't seem like the right choice for quality control in data analysis.

upvoted 0 times

...

Justine

2 months ago

B: Encryption could also be a good way to ensure accuracy in the data set.

upvoted 0 times

...

Donte

2 months ago

A: I think the best way to apply quality control concepts to a data set is through cross-validation.

upvoted 0 times

...

Misty

3 months ago

Encryption? What, are we trying to keep the data a secret from the gremlins? I don't think that's the answer here.

upvoted 0 times

Shawnee

1 months ago

User 3: Parameterization could also be a good option for accuracy.

upvoted 0 times

...

Cammy

2 months ago

User 2: I agree, we should consider standardization or cross-validation instead.

upvoted 0 times

...

Zack

2 months ago

User 1: Encryption is not the way to go for quality control.

upvoted 0 times

...

Heike

3 months ago

Standardization? I think that's more for normalizing data, not really quality control. This is a tricky one!

upvoted 0 times

Adelaide

3 months ago

Yeah, I agree. It helps to validate the model's performance.

upvoted 0 times

...

Merri

3 months ago

I think cross-validation might be the best way to ensure accuracy.

upvoted 0 times

...

Adela

3 months ago

Hmm, I'm pretty sure cross-validation is the way to go here. Gotta make sure that data is squeaky clean!

upvoted 0 times

Enola

2 months ago

Cross-validation sounds like a solid method to ensure the data is accurate.

upvoted 0 times

...

Flo

2 months ago

I'm not sure about parameterization, but encryption might add an extra layer of security.

upvoted 0 times

...

Ronald

2 months ago

Standardization could also help ensure accuracy in the data set.

upvoted 0 times

...

Jean

2 months ago

I think cross-validation is a good choice for quality control.

upvoted 0 times

...

Marleen

4 months ago

I'm not sure, but I think cross-validation could also be a good option.

upvoted 0 times

...

Rebbeca

4 months ago

I agree with Lizette, standardization helps ensure accuracy.

upvoted 0 times

...

Lizette

4 months ago

I think the best way is to use standardization.

upvoted 0 times

...